Abstract
INTRODUCTION: A rich patient may reside in their home and may prefer to take treatment with all the medical appliances inside the premise. A patient may take treatment in the less specialized hospital, which may be taking a suggestion from a specialist working in a specialized center. In such a scenario, bio-medical images need to be transmitted over the public network. Bio-medical images sent in plain form suffer from confidentiality and integrity problem.OBJECTIVES: To overcome the above problem, medical records are always hidden in the cover image so that others do not know what is being sent.METHODS: In our proposed scheme, the chosen cover image gets divided into the following three planes, namely: R plane, G plane, and B plane. The co-occurrence matrix is computed for each plane by dividing it into 16 x 16 pixels block and then the embedding map is generated from it. The biomedical image is also divided into 8 x 8 pixels block and is hidden into the chosen cover image block using the embedding map. Both cover image blocks and secret image blocks are transformed by RIWT. R matrix of QR decomposition of the cover image and secret image blocks are used in embedding At the end of the embedding phase. These three planes are merged into an RGB image to produce a stego image.RESULTS: To assess the performance of our scheme, parameters like imperceptibility, robustness, and security are considered. With respect to imperceptibility, PSNR values of the stego images are over 50. With respect to robustness, average NCC values between the original secret and the attacked secret is 0.94. With respect to security, stego image cannot be detected easily if it has any secret.CONCLUSION: From the experimental results, our scheme is proved to be better with respect to these three selected parameters.
Highlights
A rich patient may reside in their home and may prefer to take treatment with all the medical appliances inside the premise
The biomedical image is divided into 8 x 8 pixels block and is hidden into the chosen cover image block using the embedding map. Both cover image blocks and secret image blocks are transformed by RIWT
R matrix of QR decomposition of the cover image and secret image blocks are used in embedding At the end of the embedding phase
Summary
A rich patient may reside in their home and may prefer to take treatment with all the medical appliances inside the premise. A patient may take treatment in the less specialized hospital, which may be taking a suggestion from a specialist working in a specialized center In such a scenario, bio-medical images need to be transmitted over the public network. Bio-medical images sent in plain form suffer from confidentiality and integrity problem This new-age technology that uses information and communication has been developing health care in many ways. If it is not attended immediately, the patient may not live longer than half a year As experts in this area are less and are working only in major cities, the medical data of a patient suffering from a brain tumour in remote areas is sent to experts in super-speciality hospitals for further analysis and treatment as shown in fig.1 [4]
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